code: def test_numpy_weights(self):
      # Test case where there's 0 matches
      references = [
          "The candidate has no alignment to any of the references".split()
      ]
      hypothesis = "John loves Mary".split()
  
      weights = np.array([0.25] * 4)
      assert sentence_bleu(references, hypothesis, weights) == 0
  
imports: import unittest
  import numpy
  from nltk.data import find
  from nltk.translate.bleu_score import SmoothingFunction, brevity_penalty, closest_ref_length, corpus_bleu, modified_precision, sentence_bleu
label_desc: Use image node_id 7 for calling the TestBLEUFringeCases obj's underlying member method code with example usage: obj.test_numpy_weights() without return types